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News2412h
LameHug: An AI Generated Malware That Steals Data From Windows Systems
The malware, imaginatively named LameHug, is coded in Python and uses Hugging Face API to interact with certain LLM protocols ...
The Hacker News15h
CERT-UA Discovers LAMEHUG Malware Linked to APT28, Using LLM for Phishing Campaign
APT28 targets Ukrainian government officials with a phishing campaign delivering LAMEHUG malware, utilizing Alibaba Cloud’s ...
First-ever AI malware ‘LameHug’ hides in ZIP files to hack Windows PCs
A new malware named LameHug is using Alibaba's large language models (LLM), the very same tech that powers AI chatbots like ...
CSO Online2d
Novel malware from Russia’s APT28 prompts LLMs to create malicious Windows commands
Recent attacks by the state-run cyberespionage group against Ukrainian government targets included malware capable of ...
The Hacker News3d
Hackers Use GitHub Repositories to Host Amadey Malware and Data Stealers, Bypassing Filters
Malicious GitHub repositories used by threat actors to host Amadey payloads and steal data, impacting targeted entities.
LameHug malware uses AI LLM to craft Windows data-theft commands in real-time
A novel malware family named LameHug is using a large language model (LLM) to generate commands to be executed on compromised ...
IEEE5d
Explainable Deep Learning-Enabled Malware Attack Detection for IoT ...
Malware attacks affect the working and performance of the deployed smart IoT devices. We propose a secure deep learning-enabled malware attack detection for IoT-enabled ITS (in short, SDLMA-IITS). The ...
IEEE5d
ArchSentry: Enhanced Android Malware Detection via Hierarchical ...
Android malware poses a significant challenge for mobile platforms. To evade detection, contemporary malware variants use API substitution or obfuscation techniques to hide malicious activities and ...